iidBaseline

Influence functions or IID decomposition of baseline for recrec/phreg/cifregFG

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray,
Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

iidBaseline function

<dl><dt>object</dt>
<dd>phreg/recreg/cifregFG object</dd>
<dt>time</dt>
<dd>for baseline IID</dd>
<dt>ft</dt>
<dd>function to compute IID of baseline integrated against f(t)</dd>
<dt>fixbeta</dt>
<dd>to fix the coefficients</dd>
<dt>beta.iid</dt>
<dd>to use these iid of beta</dd>
<dt>tminus</dt>
<dd>to get predictions in t-</dd>
<dt>...</dt>
<dd>additional arguments to lower level functions</dd></dl>

Arguments

Author

Influence functions or IID decomposition of baseline for recrec/phreg/cifregFG — iidBaseline

<dl>

<dt>object</dt>
<dd>phreg/recreg/cifregFG object</dd>


<dt>time</dt>
<dd>for baseline IID</dd>


<dt>ft</dt>
<dd>function to compute IID of baseline integrated against f(t)</dd>


<dt>fixbeta</dt>
<dd>to fix the coefficients</dd>


<dt>beta.iid</dt>
<dd>to use these iid of beta</dd>


<dt>tminus</dt>
<dd>to get predictions in t-</dd>


<dt>...</dt>
<dd>additional arguments to lower level functions</dd>

</dl>

iidBaseline: Influence functions or IID decomposition of baseline for recrec/phreg/cifregFG

Description

Usage

Arguments

Author